Triple

T17168233
Position Surface form Disambiguated ID Type / Status
Subject Andi language E416661 entity
Predicate hasDialect P4251 FINISHED
Object Zilo
Zilo is a dialect of the Andi language, a Northeast Caucasian language spoken in Dagestan, Russia.
 E1253876 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zilo | Statement: [Andi language, hasDialect, Zilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zilo
Context triple: [Andi language, hasDialect, Zilo]
  • A. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • B. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • C. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Zihl
    Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zilo
Triple: [Andi language, hasDialect, Zilo]
Generated description
Zilo is a dialect of the Andi language, a Northeast Caucasian language spoken in Dagestan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zilo
Target entity description: Zilo is a dialect of the Andi language, a Northeast Caucasian language spoken in Dagestan, Russia.
  • A. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • B. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • C. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Zihl
    Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483d754c819089607cfc87d08d42 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014964b0d88190a37fa6be0c837630 completed May 11, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a014a20bb2c8190bbae3009783efc00 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:37 a.m.